With the increasing size of the power system,the complexity of the structure,the continuous advancement of grid reforms,the continuous implementation of new energy generation and grid integration,and the increasing d iversification of electrical equipment,the operation and control of the power system have become more complex and diverse.At the same time,the risk of a blackout in the power grid is increasing.For this reason,it is very important to study the black s tart and load restoration problems after the blackout of the power grid.How to use new energy power generation to participate in the recovery is a necessary problem to be solved in the future high-proportion renewable energy system.This article uses wind power as the starting point.,Research on the load restoration problem of wind power participation.Wind power has randomness and uncertainty,in order to make more reasonable and full use of the existing power supply,so as to restore the power supply a s quickly as possible.This paper constructs an optimal spinning reserve revenue model,uses the VAR method to ensure the reliability of wind power output under a certain degree of confidence,and solves the optimal spinning reserve capacity through an ada ptive particle swarm algorithm,so as to avoid reserving too much reserve capacity and speed up the system Recovery process.There may be correlations in time and space between multiple wi nd farms.This paper uses the copula method to study and analyze the correlation of multiple wind farms,and establishes the joint probability distribution function of multiple wind farms.The inverse transform obtains the correlated multi-wind farm forecast wind speed.Based on the reserve capacity for wind power and the research on the correlation of multiple wind farms,the security region theory is introduced,and the security adjustment factor model is proposed based on the static security region analysis method,and the load restoration of multiple wind farms considering the static security margin is constructed.model.Under extreme wind speeds,the safety analysis of each time step plan is carried out.If there is a risk of exceeding the limit of the safety zone,the recovery plan will be adjusted by solving the safety factor to ensure the rapid recovery when there is no risk,and at the same time improve the security of recovery at the extreme wind conditions.Finally,taking the IEEE39-bus system as an example,the optimal reserved reserve capacity and reserve income of three wind farms participating in load restoration are solved.On the premise that the optimal reserve solution and the wind farm’s relevance are considered,the conventional recovery method is compared with this paper.The proposed safety adjustment methods are compared,and the experiment proves that the method proposed in this paper not only guarantees the rapid recovery,but also improves the safety of the system recovery process under extreme wind speeds. |